Omgili: a new spin on a web 2.0 search engine

While the major hunt engines use an automated approach for indexing the web and delivering relevant content, hundreds of upstarts look for ways to add human input into the equation. Omgili combines an automated approach with the human factor in a unique way. Keep reading to find out the virtue of this young hunt engine.

Like the major hunt engines, Omgili uses an automated crawler to index the web. Unlike Google and the others, it specializes; it "scans 1000000 of online discussions worldwide in over 100,000 boards, forums and other treatment based resources." In other words, it's a hunt engine for the subjective. For illustration, if you hunt Google for a specific brand of digital camera, the manufacturer's product page for the device will likely be at the top of the consequence. If you hunt Omgili, nevertheless, all of your consequence will characteristic discussions of the photographic camera. You'll find out what real people thought about the device, not just the camera's specs.

Omgili added a figure of characteristic to expand its utility. In Oct 2007 it released Omgili hunt Aid, a tool that lets users hunt within hunt queries that other users have performed. Just one month later it released a beta version of merchandise Reviews, which taps into merchandise review sites for info. In Jan the "subjective search engine" came out with Omgili Buzz, which show the top subject in a assortment of categories, such as videos, news, merchandise and film. And in late Feb of this year, it unveiled Google@Omgili, a service that lets users hunt on both engines - and more.

Omgili sounds like the kind of hunt engine you'd want to check out earlier buying an expensive product or possibly even going to a movie, if you want to know what others thought earlier laying down your hard-earned cash. But how well does it work? The only way to find out is to ask, so it's time to take this search engine for a spin.